Miranda Mundt

ORCID: 0000-0002-5283-2138
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About
Contact & Profiles
Research Areas
  • Scientific Computing and Data Management
  • Software Engineering Research
  • Software Engineering Techniques and Practices
  • Research Data Management Practices
  • Cloud Computing and Resource Management
  • Distributed and Parallel Computing Systems
  • Data Visualization and Analytics
  • Semantic Web and Ontologies
  • Career Development and Diversity
  • Complex Systems and Decision Making
  • Parallel Computing and Optimization Techniques
  • Persona Design and Applications
  • Biomedical and Engineering Education
  • Doctoral Education Challenges and Solutions
  • Open Source Software Innovations
  • Privacy-Preserving Technologies in Data
  • Innovative Human-Technology Interaction
  • Scheduling and Optimization Algorithms
  • Big Data and Business Intelligence
  • Meta-analysis and systematic reviews
  • Data Quality and Management
  • Mentoring and Academic Development
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Educational Games and Gamification

Sandia National Laboratories
2020-2024

Sandia National Laboratories California
2021-2023

Computational and data-enabled science engineering are revolutionizing advances throughout society, at all scales of computing. For example, teams in the U.S. DOE Exascale Computing Project have been tackling new frontiers modeling, simulation, analysis by exploiting unprecedented exascale computing capabilities—building an advanced software ecosystem that supports next-generation applications addresses disruptive changes computer architectures. However, concerns growing about productivity...

10.1109/mcse.2024.3383799 article EN cc-by Computing in Science & Engineering 2024-01-01

In the computational science and engineering (CSE) community, there is a prevailing belief that adopting better software development practices investing in quality will directly lead to more robust, reproducible software. There is, however, relatively little evidence indicate what specific aspects of influence reproducibility or which To inform this discussion, we present preliminary findings from an ongoing study how among CSE teams affect they create.

10.1145/3589806.3600040 article EN 2023-06-27

US national research laboratories and agencies play an integral role in advancing science technology for the public good. The authors of this article, as Research Software Engineers (RSEs) allies from eight unique organizations, came together to explore RSE needs perspective development institutions. We identified three key areas improvement future RSEs pursue interest: community establishment, hiring retention, recognition. To retain cultivate essential talent, institutions must evolve...

10.1109/mcse.2023.3256759 article EN Computing in Science & Engineering 2022-11-01

Evidence-based practice (EBP) in software engineering aims to improve decision-making development by complementing practitioners' professional judgment with high-quality evidence from research. We believe the use of EBP techniques may be helpful for research engineers (RSEs) their work bring best practices scientific development. In this study, we present an experience report on a particular technique, rapid reviews, within RSE team at Sandia National Laboratories, and practical...

10.5281/zenodo.10420969 preprint EN arXiv (Cornell University) 2024-03-25

Findable. Accessible. Interoperable. Reusable. Since their introduction in 2016, the FAIR data principles have defined standards by which scientific researchers share data. However, modern research editing and management consistently shows that while are widely accepted theory, they can be much more difficult to understand implement practice. In this tutorial, we explore some of simple, realistic steps scientists take FAIRly release open We also areas where current guidelines fall short...

10.1145/3637528.3671468 article EN cc-by Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining 2024-08-24

There has been growing interest within the computational science and engineering (CSE) community in engaging with software research -- systematic study of systems their development, operation, maintenance to solve challenges scientific development. Historically, there little interaction between computing field, which held back progress. With ranks teams expanding include researchers practitioners, we can work build bridges reap rewards evidence-based practice

10.48550/arxiv.2201.04007 preprint EN other-oa arXiv (Cornell University) 2022-01-01

As a newly designated professional title, research software engineers (RSEs) link the two worlds of engineering and science. They lack clear development training opportunities, particularly in realm mentoring. In this paper, we discuss mentorship as it pertains to unique needs RSEs propose ways which organizations institutions can support mentor/mentee relationships for

10.2172/1899273 preprint EN 2021-11-01

Computational and data-enabled science engineering are revolutionizing advances throughout society, at all scales of computing. For example, teams in the U.S. DOE Exascale Computing Project have been tackling new frontiers modeling, simulation, analysis by exploiting unprecedented exascale computing capabilities-building an advanced software ecosystem that supports next-generation applications addresses disruptive changes computer architectures. However, concerns growing about productivity...

10.48550/arxiv.2311.02010 preprint EN other-oa arXiv (Cornell University) 2023-01-01

10.11578/dc.20230810.5 article OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) 2023-01-05

We are research software engineers and team members in the Department of Software Engineering Research at Sandia National Laboratories, an organization which aims to advance engineering domain computational science. Our hopes promote processes principles that lead quality, rigor, correctness, repeatability implementation algorithms applications scientific for high consequence applications. use our experience argue there is a readily achievable set tools best practices with large return on...

10.48550/arxiv.2010.07381 preprint EN other-oa arXiv (Cornell University) 2020-01-01

Within the rapidly diversifying field of computational science and engineering (CSE), research software engineers (RSEs) represent a shift towards adoption mainstream tools practices into scientific development. An unresolved challenge is need to effectively integrate RSEs their expertise multi-disciplinary teams. There has been long-standing "chasm" between domains CSE engineering, emergence as professional identity within presents an opportunity finally bridge that divide. For this reason,...

10.48550/arxiv.2201.04010 preprint EN other-oa arXiv (Cornell University) 2022-01-01

Many teams struggle to adapt and right-size software engineering best practices for quality assurance fit their context. Introducing is not usually framed in a way that motivates take action, thus resulting it becoming “check the box compliance” activity instead of cultural practice values effort achieve it. When how can we provide effective incentives adopt integrate meaningful enduring practices? We explored this question through persona-based ideation exercise at 2021 Collegeville...

10.1109/mcse.2022.3170027 article EN Computing in Science & Engineering 2022-04-25
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